The detection and characterization of coastal aquaculture structures is gaining attention due to its increasing global demand. To date, the use of Synthetic Aperture radar (SAR) data for this application has been, so ...
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The ASTERIX organization has introduced a new data format standard, ASTERIX Cat 015, for Independent Non-Coherent Surveillance (INCS) sensordata. This standard is particularly suitable for exchanging Passive Coherent...
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sensor fusion technology is a critical component of autonomous vehicles, enabling them to perceive and respond to their environment with greater accuracy and speed. This technology integrates data from multiple sensor...
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In recent years, there have been significant developments in radio frequency (RF) sensortechnology used in human-computer interaction (HCI) applications, specifically in areas like gesture recognition and more broadl...
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ISBN:
(纸本)9798350329216;9798350329209
In recent years, there have been significant developments in radio frequency (RF) sensortechnology used in human-computer interaction (HCI) applications, specifically in areas like gesture recognition and more broadly, human activity recognition. Although extensive research has been conducted on these subjects, most experiments involve controlled settings where participants are instructed on how to perform specific movements. However, when such experiments are conducted on sign language recognition they lack capturing dialectal and background-related diversities. In this work, we explore the differences in RF datasets acquired under controlled experimental settings and in free form environments where users were not constrained by the experimental instructions and limitations. We show that directed (i.e., controlled) data acquisition approaches result in over-optimistic performances which do not perform well on naturally acquired data samples in a real-world use case. We evaluate different approaches on generating synthetic samples from directed dataset, but show that such methods do not offer much benefit over collecting natural data. Therefore, we propose an interactive data acquisition paradigm through gamification. We show that the proposed approach enables the recognition of American Sign Language (ASL) in real-world settings by achieving 69% accuracy on 29 words.
The field of autonomous navigation has been significantly advanced. Autonomous Vehicle depends on their perception system to obtain critical data pertaining to their immediate environment. This article elucidates the ...
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High-resolution range profile (HRRP) is one of the commonly used methods in radar automatic target recognition (RATR). Recently, obtaining HRRP under different modalities, such as frequency and polarization, to improv...
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With the rapid development of the transportation industry, the number of truck transportation under railway Bridges and culverts has increased sharply, and some illegal ultra-high vehicles have also increased signific...
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Recent developments in sensortechnology have enabled real-time data acquisition, high-frequency and multimodal data capturing thus underlying the need for monitoring physical or operational conditions in various aspe...
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Advanced monitoring system requires the sensing module to cover the whole target and the whole working condition, but the traditional monocular camera-based surveillance system can hardly meet this requirement. To add...
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A groundwater layered monitoring system is created for the current situation of monitoring groundwater in a one shaft with multi-layer well. The construction and features of a one shaft with multi-layer well are intro...
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ISBN:
(纸本)9798350350227;9798350350210
A groundwater layered monitoring system is created for the current situation of monitoring groundwater in a one shaft with multi-layer well. The construction and features of a one shaft with multi-layer well are introduced. It consists of a communication host and several collecting probes. Water level sensors can be connected using standard protocol communication. The automated sensor collection and monitoring data analysis made possible by the integrated recognition algorithm enhances the system's suitability for field deployment. Linear correction and uniform calibration are performed to ensure the accuracy of the water level sensor. Various steps are taken, starting with hardware and software, to increase system stability while simultaneously building a three-dimensional visualization information platform for monitoring groundwater stratification. The system is applied in farmland area, and the working efficiency is greatly improved.
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